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Model Server Jobs in Denver, CO (NOW HIRING)

Senior Architect, Data Center Modeling

Boulder, CO · On-site

$69.75 - $93.25/hr

We are seeking visionary computer architects to design and develop models for the next generation ... Experience with accelerated server architecture design and deployment, especially up to hyperscale.

Senior Architect, Data Center Modeling

Boulder, CO · On-site

$69.75 - $93.25/hr

We are seeking visionary computer architects to design and develop models for the next generation ... Experience with accelerated server architecture design and deployment, especially up to hyperscale.

He later worked as a server at Las Palmas, working 60-70 hours per week, eventually becoming the server manager. He would work so much that he would oftentimes sleep in his car while providing for ...

He later worked as a server at Las Palmas, working 60-70 hours per week, eventually becoming the server manager. He would work so much that he would oftentimes sleep in his car while providing for ...

Senior AI Security Engineer

Boulder, CO · On-site +1

$118K - $162K/yr

Lead security architecture reviews for MCP (Model Context Protocol) integrations - evaluating tool definitions, server trust boundaries, prompt injection attack surfaces, and tool call authorization ...

Database Engineer

Denver, CO · On-site

$125 - $150/hr

... Server, ETL/ELT pipelines, data integration, and data modeling. Candidate will work closely with the DBA, API/Services team, and business stakeholders to develop reliable, scalable data solutions.

Database Engineer

Denver, CO · On-site

$115K - $140K/yr

... Server, ETL/ELT pipelines, data integration, and data modeling. Candidate will work closely with the DBA, API/Services team, and business stakeholders to develop reliable, scalable data solutions.

... Server, ETL/ELT pipelines, data integration, and data modeling. Candidate will work closely with the DBA, API/Services team, and business stakeholders to develop reliable, scalable data solutions.

Database Engineer

Denver, CO · On-site

$115K - $140K/yr

... Server, ETL/ELT pipelines, data integration, and data modeling. Candidate will work closely with the DBA, API/Services team, and business stakeholders to develop reliable, scalable data solutions.

Working knowledge of the Model Context Protocol (MCP) - server implementation patterns, tool/resource exposure, transport options (stdio, HTTP/SSE), and authentication models * Familiarity with AI ...

Oversee team in the building of custom financial analytical forecast models; support robust data ... VBA, MS Access, SQL Server, Data Visualization applications (such as Tableau, Power BI, or Spotfire ...

Showing results 21-40

Model Server information

See Denver, CO salary details

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$31

How much do model server jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for model server in Denver, CO is $15.74, according to ZipRecruiter salary data. Most workers in this role earn between $10.62 and $17.84 per hour, depending on experience, location, and employer.

What is a model server?

Model servers are specialized software systems designed to deploy, manage, and serve machine learning models in production environments. They allow developers and organizations to expose trained models via APIs, enabling real-time predictions or batch processing for various applications. Model servers handle incoming requests, manage model versions, and ensure scalability, reliability, and security when serving models. Common examples include TensorFlow Serving, TorchServe, and NVIDIA Triton Inference Server.

How does a model server typically collaborate with data scientists and engineers during model deployment?

Model Servers play a key role in bridging the gap between data science teams and engineering teams during model deployment. They are responsible for integrating trained machine learning models into production environments, ensuring scalability, reliability, and low-latency access. Collaboration often involves regular communication with data scientists to understand model requirements and with engineers to align on infrastructure, security, and monitoring needs. This teamwork helps ensure that deployed models perform well and can be efficiently maintained or updated as new versions are released.

What are the key skills and qualifications needed to thrive as a model server, and why are they important?

To thrive as a Model Server engineer, you need expertise in deploying, managing, and optimizing machine learning models, typically supported by a background in computer science or a related field. Familiarity with tools like TensorFlow Serving, TorchServe, Docker, Kubernetes, and cloud platforms such as AWS or GCP is essential, along with knowledge of REST or gRPC APIs. Strong problem-solving, communication, and collaboration skills help in troubleshooting issues and working with data scientists and DevOps teams. These abilities ensure reliable, scalable, and efficient delivery of machine learning services in production environments.

What is the difference between Model Server vs Data Scientist?

AspectModel ServerData Scientist
Required CredentialsTypically requires knowledge of machine learning deployment, programming, and sometimes certifications in cloud platformsRequires degrees in data science, statistics, or related fields; certifications are optional
Work EnvironmentWorks primarily in IT, cloud environments, or data infrastructure teamsWorks in research, analytics, or business teams, often in office settings
Employer & Industry UsageUsed in tech companies, AI firms, and organizations deploying machine learning modelsEmployed across industries like finance, healthcare, marketing, and tech for data analysis

The main difference is that Model Servers focus on deploying and maintaining machine learning models in production environments, while Data Scientists analyze data, develop models, and generate insights. Model Servers are essential for operationalizing models, whereas Data Scientists drive the creation and refinement of those models.

What are the most commonly searched types of Model Server jobs in Denver, CO?

The most popular types of Model Server jobs in Denver, CO are:

What are popular job titles related to Model Server jobs in Denver, CO?

For Model Server jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Model Server jobs in Denver, CO look for?

The top searched job categories for Model Server jobs in Denver, CO are:

Infographic showing various Model Server job openings in Denver, CO as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution, with an average salary of $32,739 per year, or $15.7 per hour.

Senior Architect, Data Center Modeling

Nvidia

Boulder, CO • On-site

$69.75 - $93.25/hr

Full-time

Re-posted 27 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

Imagine shaping the future of AI and computing at one of the most innovative companies in the world. At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers, are at the core of revolutionary technologies from AI to autonomous vehicles.

Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary computer architects to design and develop models for the next generation of GPU-accelerated datacenters. What you'll be doing: Guiding the fundamental software design, architecture, and implementation of cost and power modeling of datacenter-scale accelerated computing platforms Evangelizing modern software architecture design patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality across the team.

Implementing industry-leading software and dev-ops best practices tailored for rapidly growing teams, fostering a culture of continuous improvement and innovation. Making hands-on and significant contributions to a business-critical codebase, directly impacting the future of high-performance computing and AI technologies. What we need to see: Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred) 8+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems.

Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills. Excellent interpersonal skills with success contributing to projects within multi-discipline teams. Proven track record of contributions to scaled Python-based software projects Ways to stand out from the crowd: Experience with accelerated server architecture design and deployment, especially up to hyperscale.

Background in parallel computing, server architecture, or datacenter design. An excitement and curiosity about the future of accelerated computing and AI Expertise in data analysis and visualization, especially pandas and associated technologies A love of technology and passion for your work. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US